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Genetic Sequencing in Rheumatology
Genetic sequencing as a research and diagnostic tool has expanded in medicine and rheumatology. An interesting review in Arthritis and Rheumatology suggests that despite currently modest use, there will be an expanded role for genetic sequencing in the field of rheumatology.
Read ArticleGenetic Analysis of Asymptomatic Antinuclear Antibody Positive Patients
A large scale genomic population study found antinuclear antibodies (ANA) in up to 14% of the population; most with ANA are asymptomatic, and ANA production is not associated with significant genetic risk.
Genomics and Future Drug Targets for Osteoarthritis
A Nature article details the results of an osteoarthritis, genome-wide association study meta-analyses across up to 489,975 cases and 1,472,094 controls, establishing 962 independent associations, 513 of which have not been previously reported.
Read ArticlePredictors of Developing RA
Cancer Survival with TNF Inhibitors (3.28.2025)
Dr. Jack Cush reviews the news and journal reports from this past week on RheumNow.com
Read ArticleWorse Outcomes in HLA-B27+ JIA
Patients with juvenile idiopathic arthritis (JIA) who carried the HLA-B27 genetic marker tended to have worse long-term outcomes, including lower rates of drug-free remission, in a prospective Scandinavian study.
Read ArticleERA, APPs, & Alpha GAL (3.21.2025)
Dr. Jack Cush reviews the news and journal reports from this past week on RheumNow.com. Listen in for 2 new case questions - Ask Cush Anything.
Read ArticleAxial Involvement in Psoriatic Arthritis
Analysis of a Greek Psoriatic Arthritis (PsA) cohort shows that nearly one quarter of patients have axial involvement, and among them, ∼30% have isolated spinal axPsA and nr-axSpA, respectively.
World Changers (3.14.2025)
Dr Jack Cush and his podcast friends are out to change the world. Here is his weekly review of the news and journal reports from the past week on RheumNow.
Read ArticleDiagnoses via Immune ‘Fingerprints’
Science and researchers at Stanford Medicine have reported the use of Mal-ID (machine learning for immunological diagnosis) to analyze B and T cell receptors sequences from human blood, showing the ability to predict health status (healthy vs diseased) and discriminate between distinct autoimmune diseases or viral infections, and those who had received an influenza vaccine.
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